Artificial intelligence in healthcare business ecosystem: a bibliometric study
The use of artificial intelligence (AI) in healthcare is rapidly increasing. Digital health start-ups are bringing new digital technologies and services to the market, allowing for cost savings and service improvements in the healthcare sector. However, successful integration of AI into the healthca...
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International Association of Online Engineering
2022
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Online Access: | http://eprints.utm.my/id/eprint/101376/1/SabrinahAdam2022_ArtificialIntelligenceinHealthcareBusiness.pdf http://eprints.utm.my/id/eprint/101376/ http://dx.doi.org/10.3991/ijoe.v18i09.32251 |
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my.utm.1013762023-06-14T09:48:51Z http://eprints.utm.my/id/eprint/101376/ Artificial intelligence in healthcare business ecosystem: a bibliometric study Muhd. Feisal Ismail, Albert Feisal Mohd. Sam, Mohd. Fazli Abu Bakar, Kamarudin Ahamat, Amiruddin Adam, Sabrinah Qureshi, Muhammad Imran HB615-715 Entrepreneurship. Risk and uncertainty. Property The use of artificial intelligence (AI) in healthcare is rapidly increasing. Digital health start-ups are bringing new digital technologies and services to the market, allowing for cost savings and service improvements in the healthcare sector. However, successful integration of AI into the healthcare ecosystem is required to realise its full potential. A digital ecosystem approach can be used to achieve this integration. Using bibliometric analysis, this research seeks to provide a clear overview of artificial intelligence in the digital healthcare ecosystem by analysing the published literature in the field. A systematic literature search was conducted on an article extracted from the Scopus database related to artificial intelligence in the digital healthcare ecosystem. A search technique was devised in order to collect relevant publications and bibliographic data (e.g., country, research area, sources, and author). The VOS viewer was used to visualise the co-authorship networks of countries as well as the co-occurrence of author keywords (Leiden University). This study is unique in a way that it presents a comprehensive picture of global efforts of the use of artificial intelligence in the healthcare business ecosystem. Academic researchers, policymakers, and healthcare practitioners who wish to collaborate in these areas in the future will benefit from the insights and research directions of this study. International Association of Online Engineering 2022 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/101376/1/SabrinahAdam2022_ArtificialIntelligenceinHealthcareBusiness.pdf Muhd. Feisal Ismail, Albert Feisal and Mohd. Sam, Mohd. Fazli and Abu Bakar, Kamarudin and Ahamat, Amiruddin and Adam, Sabrinah and Qureshi, Muhammad Imran (2022) Artificial intelligence in healthcare business ecosystem: a bibliometric study. International Journal of Online and Biomedical Engineering, 18 (9). pp. 100-114. ISSN 2626-8493 http://dx.doi.org/10.3991/ijoe.v18i09.32251 DOI: 10.3991/ijoe.v18i09.32251 |
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HB615-715 Entrepreneurship. Risk and uncertainty. Property Muhd. Feisal Ismail, Albert Feisal Mohd. Sam, Mohd. Fazli Abu Bakar, Kamarudin Ahamat, Amiruddin Adam, Sabrinah Qureshi, Muhammad Imran Artificial intelligence in healthcare business ecosystem: a bibliometric study |
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The use of artificial intelligence (AI) in healthcare is rapidly increasing. Digital health start-ups are bringing new digital technologies and services to the market, allowing for cost savings and service improvements in the healthcare sector. However, successful integration of AI into the healthcare ecosystem is required to realise its full potential. A digital ecosystem approach can be used to achieve this integration. Using bibliometric analysis, this research seeks to provide a clear overview of artificial intelligence in the digital healthcare ecosystem by analysing the published literature in the field. A systematic literature search was conducted on an article extracted from the Scopus database related to artificial intelligence in the digital healthcare ecosystem. A search technique was devised in order to collect relevant publications and bibliographic data (e.g., country, research area, sources, and author). The VOS viewer was used to visualise the co-authorship networks of countries as well as the co-occurrence of author keywords (Leiden University). This study is unique in a way that it presents a comprehensive picture of global efforts of the use of artificial intelligence in the healthcare business ecosystem. Academic researchers, policymakers, and healthcare practitioners who wish to collaborate in these areas in the future will benefit from the insights and research directions of this study. |
format |
Article |
author |
Muhd. Feisal Ismail, Albert Feisal Mohd. Sam, Mohd. Fazli Abu Bakar, Kamarudin Ahamat, Amiruddin Adam, Sabrinah Qureshi, Muhammad Imran |
author_facet |
Muhd. Feisal Ismail, Albert Feisal Mohd. Sam, Mohd. Fazli Abu Bakar, Kamarudin Ahamat, Amiruddin Adam, Sabrinah Qureshi, Muhammad Imran |
author_sort |
Muhd. Feisal Ismail, Albert Feisal |
title |
Artificial intelligence in healthcare business ecosystem: a bibliometric study |
title_short |
Artificial intelligence in healthcare business ecosystem: a bibliometric study |
title_full |
Artificial intelligence in healthcare business ecosystem: a bibliometric study |
title_fullStr |
Artificial intelligence in healthcare business ecosystem: a bibliometric study |
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Artificial intelligence in healthcare business ecosystem: a bibliometric study |
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artificial intelligence in healthcare business ecosystem: a bibliometric study |
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International Association of Online Engineering |
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2022 |
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http://eprints.utm.my/id/eprint/101376/1/SabrinahAdam2022_ArtificialIntelligenceinHealthcareBusiness.pdf http://eprints.utm.my/id/eprint/101376/ http://dx.doi.org/10.3991/ijoe.v18i09.32251 |
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